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<div class="title">TensorForwardDeclarations.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2014 Benoit Steiner &lt;benoit.steiner.goog@gmail.com&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#ifndef EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#define EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment">// MakePointer class is used as a container of the address space of the pointer</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment">// on the host and on the device. From the host side it generates the T* pointer</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment">// and when EIGEN_USE_SYCL is used it construct a buffer with a map_allocator to</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment">// T* m_data on the host. It is always called on the device.</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment">// Specialisation of MakePointer class for creating the sycl buffer with</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment">// map_allocator.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt; <span class="keyword">struct </span>MakePointer {</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;  <span class="keyword">typedef</span> T* Type;</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">const</span> T* ConstType;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;};</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160; </div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T* constCast(<span class="keyword">const</span> T* data) {</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;  <span class="keywordflow">return</span> <span class="keyword">const_cast&lt;</span>T*<span class="keyword">&gt;</span>(data);</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;}</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160; </div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="comment">// The StorageMemory class is a container of the device specific pointer</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment">// used for referring to a Pointer on TensorEvaluator class. While the TensorExpression</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment">// is a device-agnostic type and need MakePointer class for type conversion,</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment">// the TensorEvaluator class can be specialized for a device, hence it is possible</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment">// to construct different types of temproray storage memory in TensorEvaluator</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment">// for different devices by specializing the following StorageMemory class.</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> device&gt; <span class="keyword">struct </span>StorageMemory: MakePointer &lt;T&gt; {};</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160; </div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">namespace </span>internal{</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> A, <span class="keyword">typename</span> B&gt; <span class="keyword">struct </span>Pointer_type_promotion {</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> val=<span class="keyword">false</span>;</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;};</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> A&gt; <span class="keyword">struct </span>Pointer_type_promotion&lt;A, A&gt; {</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> val = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;};</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> A, <span class="keyword">typename</span> B&gt; <span class="keyword">struct </span>TypeConversion {</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;  <span class="keyword">typedef</span> A* type;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;};</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;}</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160; </div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; </div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> PlainObjectType, <span class="keywordtype">int</span> Options_ = Unaligned, <span class="keyword">template</span> &lt;<span class="keyword">class</span>&gt; <span class="keyword">class </span>MakePointer_ = MakePointer&gt; <span class="keyword">class </span>TensorMap;</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar_, <span class="keywordtype">int</span> NumIndices_, <span class="keywordtype">int</span> Options_ = 0, <span class="keyword">typename</span> IndexType = DenseIndex&gt; <span class="keyword">class </span>Tensor;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar_, <span class="keyword">typename</span> Dimensions, <span class="keywordtype">int</span> Options_ = 0, <span class="keyword">typename</span> IndexType = DenseIndex&gt; <span class="keyword">class </span>TensorFixedSize;</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> PlainObjectType&gt; <span class="keyword">class </span>TensorRef;</div>
<div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classEigen_1_1TensorBase.html">   58</a></span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived, <span class="keywordtype">int</span> AccessLevel&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorBase.html">TensorBase</a>;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> NullaryOp, <span class="keyword">typename</span> PlainObjectType&gt; <span class="keyword">class </span>TensorCwiseNullaryOp;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> UnaryOp, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorCwiseUnaryOp;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> BinaryOp, <span class="keyword">typename</span> LeftXprType, <span class="keyword">typename</span> RightXprType&gt; <span class="keyword">class </span>TensorCwiseBinaryOp;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> TernaryOp, <span class="keyword">typename</span> Arg1XprType, <span class="keyword">typename</span> Arg2XprType, <span class="keyword">typename</span> Arg3XprType&gt; <span class="keyword">class </span>TensorCwiseTernaryOp;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> IfXprType, <span class="keyword">typename</span> ThenXprType, <span class="keyword">typename</span> ElseXprType&gt; <span class="keyword">class </span>TensorSelectOp;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Op, <span class="keyword">typename</span> Dims, <span class="keyword">typename</span> XprType, <span class="keyword">template</span> &lt;<span class="keyword">class</span>&gt; <span class="keyword">class </span>MakePointer_ = MakePointer &gt; <span class="keyword">class </span>TensorReductionOp;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorIndexPairOp;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ReduceOp, <span class="keyword">typename</span> Dims, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorPairReducerOp;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Axis, <span class="keyword">typename</span> LeftXprType, <span class="keyword">typename</span> RightXprType&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorConcatenationOp.html">TensorConcatenationOp</a>;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dimensions, <span class="keyword">typename</span> LeftXprType, <span class="keyword">typename</span> RightXprType, <span class="keyword">typename</span> OutputKernelType&gt; <span class="keyword">class </span>TensorContractionOp;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> TargetType, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorConversionOp.html">TensorConversionOp</a>;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dimensions, <span class="keyword">typename</span> InputXprType, <span class="keyword">typename</span> KernelXprType&gt; <span class="keyword">class </span>TensorConvolutionOp;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FFT, <span class="keyword">typename</span> XprType, <span class="keywordtype">int</span> FFTDataType, <span class="keywordtype">int</span> FFTDirection&gt; <span class="keyword">class </span>TensorFFTOp;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> PatchDim, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorPatchOp;</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="keyword">template</span>&lt;DenseIndex Rows, DenseIndex Cols, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorImagePatchOp;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="keyword">template</span>&lt;DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorVolumePatchOp;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Broadcast, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorBroadcastingOp;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="keyword">template</span>&lt;DenseIndex DimId, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorChippingOp;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> NewDimensions, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorReshapingOp;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorLayoutSwapOp;</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> StartIndices, <span class="keyword">typename</span> Sizes, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorSlicingOp;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ReverseDimensions, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorReverseOp;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> PaddingDimensions, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorPaddingOp;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Shuffle, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorShufflingOp;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorStridingOp;</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> StartIndices, <span class="keyword">typename</span> StopIndices, <span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorStridingSlicingOp;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorInflationOp;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorGeneratorOp.html">TensorGeneratorOp</a>;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> LeftXprType, <span class="keyword">typename</span> RightXprType&gt; <span class="keyword">class </span>TensorAssignOp;</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Op, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorScanOp;</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dims, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorTraceOp;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160; </div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomUnaryFunc, <span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorCustomUnaryOp.html">TensorCustomUnaryOp</a>;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomBinaryFunc, <span class="keyword">typename</span> LhsXprType, <span class="keyword">typename</span> RhsXprType&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorCustomBinaryOp.html">TensorCustomBinaryOp</a>;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160; </div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> XprType, <span class="keyword">template</span> &lt;<span class="keyword">class</span>&gt; <span class="keyword">class </span>MakePointer_ = MakePointer&gt; <span class="keyword">class </span>TensorEvalToOp;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> XprType&gt; <span class="keyword">class </span>TensorForcedEvalOp;</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160; </div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ExpressionType, <span class="keyword">typename</span> DeviceType&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorDevice.html">TensorDevice</a>;</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ExpressionType, <span class="keyword">typename</span> DeviceType, <span class="keyword">typename</span> DoneCallback&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1TensorAsyncDevice.html">TensorAsyncDevice</a>;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived, <span class="keyword">typename</span> Device&gt; <span class="keyword">struct </span><a class="code" href="structEigen_1_1TensorEvaluator.html">TensorEvaluator</a>;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160; </div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;<span class="keyword">struct </span>NoOpOutputKernel;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160; </div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;<span class="keyword">struct </span>DefaultDevice;</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;<span class="keyword">struct </span>ThreadPoolDevice;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="keyword">struct </span>GpuDevice;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;<span class="keyword">struct </span>SyclDevice;</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="preprocessor">#ifdef EIGEN_USE_SYCL</span></div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160; </div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt; <span class="keyword">struct </span>MakeSYCLPointer {</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <span class="keyword">typedef</span> Eigen::TensorSycl::internal::RangeAccess&lt;cl::sycl::access::mode::read_write, T&gt; Type;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;};</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160; </div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;EIGEN_STRONG_INLINE <span class="keyword">const</span> Eigen::TensorSycl::internal::RangeAccess&lt;cl::sycl::access::mode::read_write, T&gt;&amp;</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;constCast(<span class="keyword">const</span> Eigen::TensorSycl::internal::RangeAccess&lt;cl::sycl::access::mode::read_write, T&gt;&amp; data) {</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;  <span class="keywordflow">return</span> data;</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;}</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160; </div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="keyword">struct </span>StorageMemory&lt;T, SyclDevice&gt; : MakeSYCLPointer&lt;T&gt; {};</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;<span class="keyword">struct </span>StorageMemory&lt;T, const SyclDevice&gt; : StorageMemory&lt;T, SyclDevice&gt; {};</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160; </div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;<span class="keyword">namespace </span>TensorSycl {</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;<span class="keyword">namespace </span>internal{</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Evaluator, <span class="keyword">typename</span> Op&gt; <span class="keyword">class </span>GenericNondeterministicReducer;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;}</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;}</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160; </div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160; </div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;<span class="keyword">enum</span> FFTResultType {</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  RealPart = 0,</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  ImagPart = 1,</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;  BothParts = 2</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;};</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160; </div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="keyword">enum</span> FFTDirection {</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    FFT_FORWARD = 0,</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    FFT_REVERSE = 1</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;};</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160; </div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160; </div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160; </div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Device, <span class="keyword">typename</span> Expression&gt;</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;<span class="keyword">struct </span>IsVectorizable {</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> value = TensorEvaluator&lt;Expression, Device&gt;::PacketAccess;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;};</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160; </div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Expression&gt;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;<span class="keyword">struct </span>IsVectorizable&lt;GpuDevice, Expression&gt; {</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> value = TensorEvaluator&lt;Expression, GpuDevice&gt;::PacketAccess &amp;&amp;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;                            TensorEvaluator&lt;Expression, GpuDevice&gt;::IsAligned;</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;};</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160; </div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;<span class="comment">// Tiled evaluation strategy.</span></div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;<span class="keyword">enum</span> TiledEvaluation {</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  Off = 0,    <span class="comment">// tiled evaluation is not supported</span></div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  On = 1,     <span class="comment">// still work in progress (see TensorBlock.h)</span></div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;};</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160; </div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Device, <span class="keyword">typename</span> Expression&gt;</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;<span class="keyword">struct </span>IsTileable {</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;  <span class="comment">// Check that block evaluation is supported and it&#39;s a preferred option (at</span></div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;  <span class="comment">// least one sub-expression has much faster block evaluation, e.g.</span></div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;  <span class="comment">// broadcasting).</span></div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">bool</span> BlockAccess =</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;      TensorEvaluator&lt;Expression, Device&gt;::BlockAccess &amp;&amp;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;      TensorEvaluator&lt;Expression, Device&gt;::PreferBlockAccess;</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160; </div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> TiledEvaluation value =</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;      BlockAccess ? TiledEvaluation::On : TiledEvaluation::Off;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;};</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160; </div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Expression, <span class="keyword">typename</span> Device,</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;          <span class="keywordtype">bool</span> Vectorizable      = IsVectorizable&lt;Device, Expression&gt;::value,</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;          TiledEvaluation Tiling = IsTileable&lt;Device, Expression&gt;::value&gt;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="keyword">class </span><a class="code" href="classTensorExecutor.html">TensorExecutor</a>;</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160; </div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Expression, <span class="keyword">typename</span> Device, <span class="keyword">typename</span> DoneCallback,</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;          <span class="keywordtype">bool</span> Vectorizable = IsVectorizable&lt;Device, Expression&gt;::value,</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;          TiledEvaluation Tiling = IsTileable&lt;Device, Expression&gt;::value&gt;</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;<span class="keyword">class </span>TensorAsyncExecutor;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160; </div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160; </div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;}  <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160; </div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;}  <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160; </div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H</span></div>
<div class="ttc" id="aclassEigen_1_1TensorAsyncDevice_html"><div class="ttname"><a href="classEigen_1_1TensorAsyncDevice.html">Eigen::TensorAsyncDevice</a></div><div class="ttdoc">Pseudo expression providing an operator = that will evaluate its argument asynchronously on the speci...</div><div class="ttdef"><b>Definition:</b> TensorDevice.h:85</div></div>
<div class="ttc" id="aclassEigen_1_1TensorBase_html"><div class="ttname"><a href="classEigen_1_1TensorBase.html">Eigen::TensorBase</a></div><div class="ttdoc">The tensor base class.</div><div class="ttdef"><b>Definition:</b> TensorForwardDeclarations.h:58</div></div>
<div class="ttc" id="aclassEigen_1_1TensorConcatenationOp_html"><div class="ttname"><a href="classEigen_1_1TensorConcatenationOp.html">Eigen::TensorConcatenationOp</a></div><div class="ttdoc">Tensor concatenation class.</div><div class="ttdef"><b>Definition:</b> TensorConcatenation.h:63</div></div>
<div class="ttc" id="aclassEigen_1_1TensorConversionOp_html"><div class="ttname"><a href="classEigen_1_1TensorConversionOp.html">Eigen::TensorConversionOp</a></div><div class="ttdoc">Tensor conversion class. This class makes it possible to vectorize type casting operations when the n...</div><div class="ttdef"><b>Definition:</b> TensorConversion.h:179</div></div>
<div class="ttc" id="aclassEigen_1_1TensorCustomBinaryOp_html"><div class="ttname"><a href="classEigen_1_1TensorCustomBinaryOp.html">Eigen::TensorCustomBinaryOp</a></div><div class="ttdoc">Tensor custom class.</div><div class="ttdef"><b>Definition:</b> TensorCustomOp.h:222</div></div>
<div class="ttc" id="aclassEigen_1_1TensorCustomUnaryOp_html"><div class="ttname"><a href="classEigen_1_1TensorCustomUnaryOp.html">Eigen::TensorCustomUnaryOp</a></div><div class="ttdoc">Tensor custom class.</div><div class="ttdef"><b>Definition:</b> TensorCustomOp.h:56</div></div>
<div class="ttc" id="aclassEigen_1_1TensorDevice_html"><div class="ttname"><a href="classEigen_1_1TensorDevice.html">Eigen::TensorDevice</a></div><div class="ttdoc">Pseudo expression providing an operator = that will evaluate its argument on the specified computing ...</div><div class="ttdef"><b>Definition:</b> TensorDevice.h:29</div></div>
<div class="ttc" id="aclassEigen_1_1TensorGeneratorOp_html"><div class="ttname"><a href="classEigen_1_1TensorGeneratorOp.html">Eigen::TensorGeneratorOp</a></div><div class="ttdoc">Tensor generator class.</div><div class="ttdef"><b>Definition:</b> TensorGenerator.h:57</div></div>
<div class="ttc" id="aclassTensorExecutor_html"><div class="ttname"><a href="classTensorExecutor.html">TensorExecutor</a></div><div class="ttdoc">The tensor executor class.</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div></div>
<div class="ttc" id="astructEigen_1_1TensorEvaluator_html"><div class="ttname"><a href="structEigen_1_1TensorEvaluator.html">Eigen::TensorEvaluator</a></div><div class="ttdoc">A cost model used to limit the number of threads used for evaluating tensor expression.</div><div class="ttdef"><b>Definition:</b> TensorEvaluator.h:31</div></div>
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